Hardware computation of conductance-based neuron models.

Ludovic Alvado, Jean Tomas, Sylvain Saïghi, Sylvie Renaud, Thierry Bal, Alain Destexhe and Gwendael LeMasson

Neurocomputing 58: 109-115, 2004.

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Abstract

We review different applications of silicon conductance-based neuron models implemented on analog circuits. At the single-cell level, we describe a circuit in which conductances are programmed to simulate various Hodgkin-Huxley type models. Integrated in a hardware/software system, they provide a simulation tool; an illustrative example is the simulation of bursting neurons of the thalamus. At the network level, we present a mixed analog-digital architecture, where the connectivity and the plasticity rules are implemented digitally and are therefore very flexible. These circuits provide valuable tools for real-time simulations, including hybrid applications where single-neuron or network models are interfaced with biological cells.
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